Model Library
Arcee AIReleased April 1, 2026Trinity Large Thinking
Arcee AI · Released April 1, 2026
Intelligence score
24
At a glance
- Intelligence
- 24
- Speed
- 206.3tokens/sec
- Latency
- 1.03stime to first token
- Input price
- $0.23per 1M tokens
- Output price
- $0.88per 1M tokens
- Context window
- 510Ktokens
- Parameters
- 399billions
Summary
Comparison summary
Trinity Large Thinking scores 24 (estimated) on the Artificial Analysis Intelligence Index, placing it below average among other open weight models of similar size (median: 25). Trinity Large Thinking generates output at 206.3 tokens per second (based on the median across providers serving the model), which is well above average compared to other open weight models of similar size (median: 61.7 t/s). Trinity Large Thinking costs $0.23 per 1M input tokens (very competitive, median: $0.59) and $0.88 per 1M output tokens (very competitive, median: $2.20), based on the median across providers serving the model.
Specifications
Technical specifications
| Model name | Trinity Large Thinking |
|---|---|
| Provider | Arcee AI |
| Release date | April 1, 2026 |
| Intelligence score | 24 |
| Speed | 206.3 tokens/sec |
| Latency (TTFT) | 1.03s |
| Input price | $0.23 / 1M tokens |
| Output price | $0.88 / 1M tokens |
| Context window | 510,000 tokens |
| Parameters | 399B |
| Reasoning | Yes |
| Input modalities | text |
| Output modalities | — |
| Open weights | Yes |
| License | Apache 2 |
| API availability | — |
| Source | Model Intelligence legacy profile: trinity-large-thinking |
Pricing
Token prices
Price per 1M tokens
Trinity Large Thinking, as listed in the catalog record
- Input$0.23
- Output$0.88
| Token type | Price per 1M |
|---|---|
| Input | $0.23 |
| Output | $0.88 |
Model Intelligence legacy profile: trinity-large-thinking
FAQ · 20
Frequently asked questions
Trinity Large Thinking was released on April 1, 2026.
Trinity Large Thinking was created by Arcee AI.
Trinity Large Thinking scores 24 (estimated) on the Artificial Analysis Intelligence Index, placing it below average among other open weight models of similar size (median: 25).
Trinity Large Thinking generates output at 206.3 tokens per second (based on the median across providers serving the model), which is well above average compared to other open weight models of similar size (median: 61.7 t/s).
Trinity Large Thinking has a time to first token (TTFT) of 1.03s (based on the median across providers serving the model), which is very competitive compared to other open weight models of similar size (median: 2.01s).
Trinity Large Thinking costs $0.23 per 1M input tokens (very competitive, median: $0.59) and $0.88 per 1M output tokens (very competitive, median: $2.20), based on the median across providers serving the model.
Trinity Large Thinking costs $0.23 per 1M input tokens and $0.88 per 1M output tokens (based on the median across providers serving the model). For a blended rate (7:2:1 cache hit/input/output ratio), this is $0.24 per 1M tokens. Pricing may vary by provider.
Yes, Trinity Large Thinking is a reasoning model. It uses extended thinking or chain-of-thought reasoning to work through complex problems before providing an answer.
Trinity Large Thinking supports text input.
Trinity Large Thinking supports text output.
No, Trinity Large Thinking does not support image input. It can only process text.
No, Trinity Large Thinking is not multimodal. It only supports text input.
Trinity Large Thinking has a context window of 510k tokens. This determines how much text and conversation history the model can process in a single request.
Yes, Trinity Large Thinking is open weights. The model weights are publicly available and can be downloaded for self-hosting.
Trinity Large Thinking has 399 billion parameters (13 billion active).
Trinity Large Thinking is a Mixture of Experts (MoE) model with 399 billion total parameters, but only 13 billion active parameters are used during inference.
Trinity Large Thinking is released under the Apache 2.0 license. This license allows commercial use.
Trinity Large Thinking achieves a score of 24 on the Artificial Analysis Intelligence Index. This composite benchmark evaluates models across reasoning, knowledge, mathematics, and coding.
Yes, Trinity Large Thinking is available via API through 2 providers.
Trinity Large Thinking is available through 2 API providers.